Evidence map›Paper›PMID 34184230›Full record

ArticleEnvironmental science and pollution research international2021

Exploring determinants of financial system and environmental quality in high-income developed countries of the world: the demonstration of robust penal data estimation techniques.

Muhammad Zeeshan, Jiabin Han, Alam Rehman, Irfan Ullah, Fakhr E Alam Afridi

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Muhammad ZeeshanCollege of Business Administration, Liaoning Technical University, Liaoning Province, Xingcheng, 125105, China. shanzeelntu1922@gmail.com.ORCID http://orcid.org/0000-0001-8873-9632
Jiabin HanCollege of Business Administration, Liaoning Technical University, Liaoning Province, Xingcheng, 125105, China.
Alam RehmanFaculty of Management Sciences, National University of Modern Languages, Islamabad, Pakistan.
Irfan UllahReading Academy, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China.
Fakhr E Alam AfridiIslamia College Peshawar, Peshawar, Pakistan.

Funding

National Social Science Fund Project 18BJL032
6 · The paper itself

Abstract

The financial system development has got considerable attention due to its association with the environment of the country. To address the apprehension of the researchers about the effect of the determinants of the financial system on the environmental quality of high-income developed countries, we analyze the data of twenty developed countries with sound and strong financial systems for the period 2001 to 2018. We consider both banking development and stock market development as the main key determinants of the financial system. We employ numerous modern-day penal data estimation techniques, namely Dynamic Penal GMM in both linear and non-linear form, Common Correlated Effect Mean Group (CCEMG), and Dynamic Fixed Effect for capturing the issues of heterogeneity, endogeneity, and cross-sectional dependence. Our results show that banking development substantiates the environmental quality in high-income developed countries. The positive gesture of the banking development on environmental quality could be the reason for the established environmentally friendly policies in the developed part of the world. Hence, we conclude that banking development in high-income developed countries significantly reduces the emissions of dangerous gases, which resultantly enhances the environmental quality. The study reveals an insignificant and tenuous impact of the market development on the environmental quality that might be due to the adoption of cleaner technologies by firms in the developed world that are environmentally friendly. The results of our long-term estimations also predict the significant effect of banking development and an insignificant effect of the market development on environmental quality. In addition, our results also demonstrate an inverted U-shaped relationship of the determinants of the financial system and environmental quality. More institutional and legal initiatives must be made for a more robust banking and stock market development framework by the policy makers with a view to substantiating the quality of the environment to a more sustainable level in the developed world.

Indexed as

Carbon DioxideEconomic DevelopmentCross-Sectional StudiesDeveloped CountriesIncomeCarbon DioxideBanking developmentDeveloped countriesEnvironmental qualityRobust estimation techniquesStock market development

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